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Implement Image Recognition with a Convolutional Neural Network

Image recognition is used in a wide variety of ways in our daily lives. This course will teach you how to tune and implement convolutional neural networks in order to implement image recognition and classification on a business case.

Intermediate
1h 30m
(9)

Created by Pratheerth Padman

Last Updated Apr 08, 2022

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  • Course

Implement Image Recognition with a Convolutional Neural Network

Image recognition is used in a wide variety of ways in our daily lives. This course will teach you how to tune and implement convolutional neural networks in order to implement image recognition and classification on a business case.

Intermediate
1h 30m
(9)

Created by Pratheerth Padman

Last Updated Apr 08, 2022

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This course is included in the libraries shown below:

  • AI
  • Data
What you'll learn

Image recognition has an extensive and important impact on our daily lives. From unlocking phones using facial recognition to detecting anomalies in chest-x rays, it is everywhere.

In this course, Implement Image Recognition with a Convolutional Neural Network, you’ll understand how to implement image recognition and classification on your very own dataset.

First, you’ll be introduced to the problem and dataset. Then, you’ll learn how to explore and prepare the dataset for the next step. Next, you’ll see how to build, train, and test a neural network on the dataset. Finally, you’ll explore how image augmentation and transfer learning help to lift the performance metrics involved in your solution.

When you’re finished with this course, you’ll have the knowledge required to implement image recognition on any dataset of your choice.

Implement Image Recognition with a Convolutional Neural Network
Intermediate
1h 30m
(9)
Table of contents

About the author
Pratheerth Padman - Pluralsight course - Implement Image Recognition with a Convolutional Neural Network
Pratheerth Padman
33 courses 4.5 author rating 2320 ratings

Pratheerth is a freelance Data Scientist who has entered the field after an eclectic mix of educational and work experiences.

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